Method and system for monitoring animals

• US 6,375,612 B1
• Filed: 03/24/1998
• Issued: 04/23/2002
• Est. Priority Date: 03/24/1998
• Status: Expired due to Term

• Current Assignee: Calvin W. Booker, Guichon P. Timothy, Jim G. Kee, Kotelko P. Bernard, Michael J. Kotelko, Yvonne T.G. Tollens
• Original Assignee: Calvin W. Booker, Guichon P. Timothy, Jim G. Kee, Kotelko P. Bernard, Michael J. Kotelko, Yvonne T.G. Tollens
• Inventors: Guichon, P. Timothy, Kotelko, P. Bernard, Booker, Calvin W., Kotelko, Michael J., Tollens, Yvonne T. G., Jim, G. Kee
• Primary Examiner(s): Lacyk, John P.
• Assistant Examiner(s): ASTORINO, MICHAEL C
• Application Number:
  US09/047,088
• Time in Patent Office: 1,491 Days
• Field of Search: 600/300-301, 600/529-538, 600/595, 119/51.02, 119/842, 119/455, 128/903, 128/904, 128/920-925, 705/2-4
• US Class Current: 600/300
• CPC Class Codes: A01K 11/008 incorporating GPS
• CPC Class Codes: A01K 29/005 Monitoring or measuring activity, e.g. detecting heat or mating
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: Y10S 119/906 Animal counting
• CPC Class Codes: Y10S 128/903 Radio telemetry
• CPC Class Codes: Y10S 128/904 Telephone telemetry
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics

Abstract

In a method of monitoring animals within an area, position data of each animal within the area is collected at interval. The position data is then processed to generate movement pattern data of the animals. The movement pattern data is then analyzed to determine at least one physical condition of the animals.

Claims

1. A method of monitoring the movement of animals within an area comprising the steps of:

collecting positional data of each animal under observation;

processing said positional data to generate movement pattern data representing the movement patterns of said animals; and

analyzing said movement pattern data to determine at least one physical condition of said animals, wherein during said analyzing step said movement pattern data is compared with reference movement pattern data stored in a database that represents typical movement patterns of animals exhibiting said at least one physical condition.

2. The method of claim 1 wherein said positional data is collected remotely and at intervals.

3. The method of claim 1 wherein said movement pattern data is compared with said reference movement pattern data to detect animals suspected of suffering a health problem.

4. The method of claim 3 wherein said movement pattern data is compared with said reference movement pattern data to detect generally stationary animals thereby to determine animals suspected of suffering a muscular skeletal injury and/or a neurological disorder.

5. The method of claim 3 wherein said movement pattern data is compared with said reference movement pattern data to detect animals circling in one direction thereby to determine animals suspected of suffering a neurological disorder.

6. The method of claim 3 wherein said area is divided into at least two zones including a food zone and a water zone and wherein said movement pattern data is compared with said reference movement pattern data to detect the duration and frequency said animals spend in at least one of said zones thereby to determine animals exhibiting said at least one physical condition.

7. The method of claim 6 wherein said movement pattern data is compared with said reference movement pattern data to detect animals visiting said water zone more frequently and spending more time in said water zone at each visit thereby to determine animals suspected of suffering a respiratory disorder.

8. The method of claim 7 wherein said movement pattern data is further compared with said reference movement pattern data to detect animals exhibiting generally overall decreased movement within said area.

9. The method of claim 6 wherein said movement pattern data is compared with said reference movement pattern data to detect animals visiting said water zone more frequently and spending less time in said water zone at each visit thereby to determine animals suspected of suffering a gastrointestinal disorder.

10. The method of claim 6 wherein said movement pattern data is compared with said reference movement pattern data to detect animals visiting said water zone less frequently and spending less time in said water zone at each visit thereby to determine animals suspected of suffering a gastrointestinal disorder.

11. The method of claim 6 wherein said movement pattern data is compared with said reference movement pattern data to detect animals exhibiting one or more of the following movement characteristics:

(i) more frequent and longer duration visits to said water zone;

(ii) less frequent visits to said food zone;

(iii) generally overall decreased movement within said area;

(iv) more frequent and shorter duration visits to said water zone; and

(v) less frequent and shorter duration visits to said water zone.

12. The method of claim 3 wherein said movement pattern data is compared with said reference movement pattern data to detect animals exhibiting one or both of the following characteristics:

(i) generally little movement within said area; and

(ii) circling in one direction.

13. The method of claim 12 further comprising the step of removing animals from said area which exhibit one or both of said characteristics.

14. The method of claim 1 wherein said area is divided into at least two zones, one of said zones being a food zone and wherein said movement pattern data is compared with said reference movement pattern data to detect movement of said animals relative to said food zone.

15. The method of claim 14 wherein said movement pattern data is compared with said reference movement pattern data to detect the frequency and duration animals spend in said food zone.

16. The method of claim 15 wherein said movement pattern data is compared with said reference movement pattern data to determine a yield grade for each animal.

17. The method of claim 16 wherein said movement pattern data is compared with reference movement pattern data representing animals of optimal, standard and minimum yield grades to allow said animals under observation to be classified into optimum, standard and minimum yield grades as a function of days on feed.

18. The method of claim 15 wherein said movement pattern data is compared with said reference movement pattern data to determine a quality grade for each animal.

19. The method of claim 15 wherein said movement pattern data is compared with said reference movement pattern data to determine a back fat percentage of each animal.

20. The method of claim 15 wherein said movement pattern data is compared with said reference movement pattern data to determine a weight group for each animal.

21. The method of claim 14 wherein said movement pattern data is compared with said reference movement pattern data to determine market ready animals.

22. The method of claim 21 further comprising the step of changing feeding patterns for market ready animals thereby to reduce greenhouse gas production.

23. The method of claim 22 further comprising the step of calculating reductions in greenhouse gas production and selling the greenhouse gas reductions as offsets to greenhouse gas producers.

26. The method of claim 14 wherein said movement pattern data is compared with said reference movement pattern data to detect overfeeding and underfeeding conditions of said animals.

27. The method of claim 21 further comprising the steps of shipping market ready animals to slaughter and calculating reductions in greenhouse gas production for sale as offsets to greenhouse gas producers.

24. A system for monitoring the movement of animals within an area including a food zone and a water zone comprising:

a plurality of data collection and transmission units, each being carried by a respective animal, each of said data collection and transmission units transmitting animal position data over a wireless communications link; and

a processor in communication with said data collection and transmission units via said wireless communication link and receiving said animal position data, said processor processing said animal position data to generate data representing movement patterns of said animals and analyzing said movement pattern data to determine at least one physical condition of said animals, wherein said processor includes a database storing reference movement pattern data that represents typical movement patterns of animals suffering health problems, said processor comparing said movement pattern data with said reference movement pattern data to detect animals exhibiting one or more of the following movement characteristics;

(i) more frequent and longer duration visits to said water zone;

(ii) less frequent visits to said food zone;

(iii) generally overall decreased movement within said area;

(iv) more frequent and shorter duration visits to said water zone; and

(v) less frequent and shorter duration visits to said water zone.

25. A system as defined in claim 24 wherein said processor further compares said movement pattern data with said reference movement pattern data to detect animals exhibiting one or both of the following characteristics:

(i) generally little movement within said area; and

(ii) circling in one direction.

28. A system as defined in claim 24 wherein said movement pattern data is further compared with said reference movement pattern data to determine a yield grade for each animal as a function of days on feed.

29. A system as defined in claim 24 wherein said movement pattern data is further compared with said reference movement pattern data to determine a quality grade for each animal as a function of days on feed.

30. A system for monitoring the movement of animals within an area including at least two zones, one of which is a food zone, comprising:

a plurality of data collection an d transmission units, each being carried by a respective animal, each of said data collection and transmission units transmitting animal position data over a wireless communication link; and

a processor in communication with said data collection an d transmission units via said wireless communication link and receiving said animal position data, said processor processing said animal position data to generate movement pattern data representing movement patterns of said animals and analyzing said movement pattern data to determine at least one physical condition of said animals, wherein said processor includes a database storing reference movement pattern data that represents typical movement patterns of animals having at least one physical condition of interest, said processor comparing said movement pattern data with said reference movement pattern data to determine a yield grade for each animal as a function of days on feed.

31. A system for monitoring the movement of animals within an area including at least two zones, one of which is a food zone, comprising:

a plurality of data collection and transmission units, each being carried by a respective animal, each of said data collection and transmission units transmitting animal position data over a wireless communication link; and

a processor in communication with said data collection and transmission units via said wireless communication link and receiving said animal position data, said processor processing said animal position data to generate movement pattern data representing movement patterns of said animals and analyzing said movement pattern data to determine at least one physical condition of said animals, wherein said processor includes a database storing reference movement pattern data that represents typical movement patterns of animals having at least one physical condition of interest, said processor comparing said movement pattern data with said reference movement pattern data to determine a quality grade for each animal as a function of days on feed.